activity
20172023
most citedArtificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

182 citations · 265 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2023★ 3 cited

Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

Ragnhild Holden Helland, Alexandros Ferles, André Pedersen +30

Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of resid…

physics.med-ph2023★ 6 cited

A comparison of 7 Tesla MR spectroscopic imaging and 3 Tesla MR fingerprinting for tumor localization in glioma patients

Philipp Lazen, Pedro Lima Cardoso, Sukrit Sharma +13

This paper investigates the correlation between magnetic resonance spectroscopic imaging (MRSI) and magnetic resonance fingerprinting (MRF) in glioma patients by comparing neuro-on…

cs.CV2023★ 182 cited

Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

Todd C. Hollon, Cheng Jiang, Asadur Chowdury +22

Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic t…

eess.IV2022★ 1 cited

Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging

Siyuan Dong, Gilbert Hangel, Eric Z. Chen +7

Magnetic Resonance Spectroscopic Imaging (MRSI) is an essential tool for quantifying metabolites in the body, but the low spatial resolution limits its clinical applications. Deep…

eess.IV2022★ 1 cited

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Siyuan Dong, Gilbert Hangel, Wolfgang Bogner +7

Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for studying metabolic activities in the human body, but the current applications are limited to low spatial reso…

eess.IV2022★ 43 cited

Preoperative brain tumor imaging: models and software for segmentation and standardized reporting

D. Bouget, A. Pedersen, A. S. Jakola +27

For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the l…

physics.optics2017★ 29 cited

Beyond backscattering: Optical neuroimaging by BRAD

Pablo Eugui, Antonia Lichtenegger, Marco Augustin +9

Optical coherence tomography (OCT) is a powerful technology for rapid volumetric imaging in biomedicine. The bright field imaging approach of conventional OCT systems is based on t…